An evolutionary analysis approach based on core-edge structured communities for data mining

Zhenyu Li; Dezhi Sun; Man Hu

doi:10.1117/12.2634381

12 May 2022 An evolutionary analysis approach based on core-edge structured communities for data mining

Zhenyu Li, Dezhi Sun, Man Hu

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121731E (2022) https://doi.org/10.1117/12.2634381
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

With the rapid development of communication technology and social media, people are constantly interacting with each other, generating a large amount of behavioral data and forming a complex social network. With time, the interaction behaviors between people also change, which results in a constantly changing social network. Analysis of evolutionary social networks can effectively mining people's behavioral data, understanding people's behavior models in depth. Community detection is one of the important methods for social network analysis, and evolutionary analysis of dynamically changing communities, especially the core stable community structure in dynamic networks, can reveal the community structure at different periods and reveal the social network evolution patterns. In this paper, we define communities on real complex networks as core-edge structures with a tight core and sparse periphery, which can represent the importance of nodes within the community. And we propose a community detection algorithm based on the core-edge structure communities. Moreover, based on the characteristics of the core-edge community structure, we propose a community similarity calculation method based on the importance of members and an evolution analysis method based on the core-edge community structure.

Citation Download Citation

Zhenyu Li, Dezhi Sun, and Man Hu "An evolutionary analysis approach based on core-edge structured communities for data mining", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121731E (12 May 2022); https://doi.org/10.1117/12.2634381

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KEYWORDS

Social networks

Data mining

Analytical research

Detection and tracking algorithms

Data modeling

Information and communication technologies

Mining

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